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| Criterion | ![]() Product Strategy Impact Mapping | ![]() Decision Making Constraint Analysis | ![]() Decision Making Decision Tree | ![]() Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 45-90 min | 30-90 min | 30-90 min | 1-2 h |
Participantsdifferent | 3-8 | 2-8 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Impact Map, Outcome Hypotheses, Delivery Options | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | OutcomesStrategyBehaviorPlanning | ConstraintsDecisionPlanningOptions | DecisionTreeOptions | StrategyDecisionAssumptionsHypothesis |



